This project uses a univariate, data analysis (including Google's Colab, i.e., essentially Jupyter Notebooks) for the data visualization(s) of the global 2012, OECD PISA rankings and scores. HTML was used for displaying the Exploration Slideshow's findings via Matplotlib; Numpy; Pandas; Python and Seaborn (for presenting the graphical visualizations to executive, technical and not-technical audiences). ©John S. Rajeski, Ed.D.
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Python Analysis: Global PISA Findings: Data Visualization of student rankings and categorical results (Springboard Data Analytics Track - Capstone One Project)
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